Formula One Project

Preparation:

Import data

Something I have learned anew:

drivers <- read_csv(unz("archive.zip", "drivers.csv"), na ="\\N")
results <- read_csv(unz("archive.zip", "results.csv"), na ="\\N")
constructors <- read_csv(unz("archive.zip", "constructors.csv"), na ="\\N")
races <- read_csv(unz("archive.zip", "races.csv"), na ="\\N")

• Open the zip folder and import the respective data set
• Save “\N” as “NA”

Merging and finalizing the data

Here I have carried out many steps at once to prepare the data for plotting:

• Merging the datasets
• Creating the new variable “name” by for and surname
• Creating variables to count the wins per year and number of total wins
• Filtering for years and only the ten best drivers
• Renaming variables

df <- results |> 
  left_join(drivers, by = "driverId") |> 
  left_join(races, by = "raceId") |> 
  left_join(constructors, by = "constructorId") |> 
  mutate(name = paste(forename, surname, sep = " ")) |>
  filter(year >= 2000 & year <= 2020) |> 
  group_by(name, year) |> 
  mutate(wins = sum(position == 1, na.rm = T)) |> 
  ungroup() |> 
  select("name", "year", "wins", "nationality.x", "url.x", "name.y") |> 
  distinct(name, year, .keep_all = T) |> 
  group_by(name) |> 
  mutate(totalwins = sum(wins, na.rm = T)) |>  
  ungroup() |> 
  mutate(order = dense_rank(desc(totalwins))) |> 
  rename(nationality = nationality.x, url = url.x, constructor = name.y) |> 
  arrange(order) |> 
  filter(order <= 9, wins > 0)  

rm(list = setdiff(ls(), "df"))

A few steps before plotting

Since Jana wanted me to use colors that match the Constructor, I defined the colors here:

colors <- c(
  "Brawn" = "#7B1113",   
  "Ferrari" = "#DC0000", 
  "Honda" = "#666666",  
  "Lotus F1" = "#0E55A5", 
  "McLaren" = "#FF8700", 
  "Mercedes" = "#00D2BE",
  "Red Bull" = "#1E41FF",
  "Renault" = "#FFF500", 
  "Toro Rosso" = "#469BFF"
)

There should also be the possibility to get additional information about the drivers when hovering over the bar. I defined the text here:

hover_text <- with(df, paste(name, ":<br>", wins, " Wins<br>Constructor: ", constructor, "<br>Year :", year))

Note: “<br>” is a HTML-tag equivalent to the “\n” that we use in R.

Plotting

On Jana’s advice, I used the plotly package:

plot_ly(df, x = ~wins, y = ~name, type = "bar", color = ~constructor, 
        colors = colors, text = ~hover_text, hoverinfo = "text") |> 
  layout(title = "Most successful drivers with constructors", 
         xaxis = list(title = "Races won"),
         yaxis = list(title = "", categoryorder = "total ascending", 
                      categoryarray = ~order), 
         barmode = 'stack')